A Review on Leveraging Reinforcement Learning for Enhanced Decision-Making in Power and Energy Systems
N Pushpalatha, M Murugesan, A Ravi… - 2024 International …, 2024 - ieeexplore.ieee.org
Reinforcement learning (RL) is a potential method for tackling difficult decision-making
problems in power and energy systems. This review paper presents a thorough examination …
problems in power and energy systems. This review paper presents a thorough examination …
Smart Energy Meter for Mobile-Based Power Consumption Monitoring and Management
N Pushpalatha, D Gunapriya… - 2024 International …, 2024 - ieeexplore.ieee.org
Energy conservation is the prime move for reducing power production through conventional
resources, which in turn leads to environmental pollution. Most of the users are unaware of …
resources, which in turn leads to environmental pollution. Most of the users are unaware of …
Renewable Energy Based Multi Input Dc-Dc Converter for Ev Applications
B Aljafari, G Shanmugam, G Devarajan… - … Energy Based Multi Input … - papers.ssrn.com
An implementation of a non-isolated multi-input DC-DC converter (MIC) using renewable
energy sources (RES) is presented in this article. To optimize PV power while sustaining a …
energy sources (RES) is presented in this article. To optimize PV power while sustaining a …